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Reflections From the Pandemic: Is Connectivism the Panacea for Clinicians?

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Generative AI (GenAI) and pandemics necessitate interprofessional collaboration. Connectivism, a social learning theory, enhances knowledge acquisition by connecting learners to networks and experts, fostering critical evaluation of information.

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COVID-19GAIairborne diseaseautonomyclinicianconnectivismdiversitygenerative artificial intelligencehealth carehealth care communityinformationlearninglearning frameworklearning theorymisinformationpanacea

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Area of Science:

  • Health Professions Education
  • Artificial Intelligence in Healthcare
  • Social Learning Theories

Background:

  • The COVID-19 pandemic and rise of Generative AI (GenAI) underscore the need for collaborative problem-solving in interprofessional communities.
  • Personal experiences highlight limitations in current learning and knowledge acquisition methods, particularly concerning GenAI challenges.
  • Foundational understanding requires constructivism and experiential learning, but rapidly evolving environments demand enhanced approaches.

Purpose of the Study:

  • To explore how connectivist learning approaches can supplement traditional constructivist paradigms.
  • To investigate the role of social learning contexts in addressing GenAI-related challenges.
  • To identify key principles for effective learning and knowledge acquisition in dynamic online environments.

Main Methods:

  • A narrative reflection on personal experiences with learning and GenAI.
  • Exploration of connectivism principles within social learning contexts.
  • Analysis of existing online communities and GenAI solutions for learning.

Main Results:

  • Connectivism enhances knowledge acquisition by fostering interaction with diverse experts and creating accessible information nodes.
  • Learners must distinguish between accurate information and misinformation within these networks.
  • Autonomy, connectedness, diversity, and openness are crucial for successful learning in connectivist environments.
  • Learning involves connecting to knowledge networks, enabling continuous professional development.

Conclusions:

  • Connectivist approaches offer a valuable framework for health professionals to navigate complex challenges posed by GenAI.
  • Interprofessional collaboration within online communities, leveraging GenAI, can facilitate effective knowledge acquisition and application.
  • Adapting learning strategies to incorporate connectivist principles is essential for staying current in rapidly evolving fields.